Enterprise Data Scientist II

University of Central Florida; Orlando (FL); Hybrid; USD 68,228 - 83,389; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Flexible Spending

Employee Assistance Program

Paid Time Off

Retirement Savings Options

Employee Discounts

Education Assistance

Job summary

An established industry player is seeking an experienced data scientist to join its Analytics and Integrated Planning division. This role involves conducting in-depth statistical analysis and leveraging machine learning techniques to drive insights from institutional data. The successful candidate will utilize their expertise to build predictive models, perform data wrangling, and present findings through effective data visualization. This is a fantastic opportunity to contribute to strategic decision-making in a vibrant university environment, where your analytical skills will directly impact student success and institutional goals. Embrace a flexible work environment while being part of a team dedicated to excellence in data science.

Qualifications

• 2+ years of relevant experience in data science or equivalent education.
• Strong knowledge of applied statistics and machine learning techniques.

Responsibilities

• Builds machine learning models to forecast outcomes.
• Cleans and processes data for analysis and modeling.
• Creates technical summaries of statistical analysis and findings.

Skills

Python

Machine Learning

Statistical Analysis

Data Visualization

Data Wrangling

Data Mining

Education

Bachelor's Degree

Master's Degree

Tools

Azure Machine Learning

Job description

Analytics and Integrated Planning:

The Analytics and Integrated Planning (AIP) division brings expertise in strategic planning, advanced data analysis, data reporting, and institutional research with the explicit purpose of leveraging institutional data to enable robust decision making across the university.

AIP partners with university colleges, departments, and other areas to coordinate analytic activities and discover insights in support of university goals. These partnerships serve to improve UCF’s analysis capabilities and infrastructure.

The Opportunity:

Analytics and Integrated Planning is seeking an experienced data scientist to join our team. The Enterprise Data Scientist II conducts in-depth statistical analysis using machine learning techniques, including data wrangling, data mining, and using data analysis methodologies to identify trends and forecast outcomes. This position will conduct analyses of data from varied areas of the university (student success, financial, research, and human resources). The successful candidate will demonstrate a strong knowledge of applied statistics and proficiency in machine learning techniques.

Responsibilities:

• Builds machine learning models or algorithms to forecast outcomes.
• Devises and utilizes algorithms and models to mine data; performs data and error analysis to improve models; validates data and model outcomes for uniformity and accuracy.
• Deploys complex statistical analysis to identify trends and critical factors.
• Cleans, processes, and transforms data to prepare it for analysis and modeling.
• Creates and maintains detailed documentation of processes, and methodologies.
• Creates technical narrative summaries of statistical analysis and findings and enhances findings through data visualization.
• Participates in requirements gathering sessions with stakeholders to understand the purpose behind the research questions.

Minimum Qualifications:

Bachelor's or Master's degree and 2+ years of relevant experience, or an equivalent combination of education and experience pursuant to Fla. Stat. 112.219.

Preferred Qualifications:

Preferred experience and technical skills:

• Demonstrated ability in Python.
• Experience with Azure Machine Learning or similar platforms.
• 4+ years’ experience in data science.
• Extensive knowledge of applied statistics.

The most successful candidates may possess the following qualities:

• Ability to clearly present findings to an audience with varying degrees of technical knowledge.
• Agile, versatile, flexible, and able to adapt to evolving priorities.
• Demonstrated ability to prioritize and handle multiple projects with attention to detail in a deadline-oriented environment.
• Demonstrated ability to work both independently and within a team-based environment.
• Ability to effectively communicate verbally and in writing.

Special Instructions to the Applicants:

This position allows for a hybrid work environment; employees are required to work in the office at least one day a week.

Applicant must be authorized to work for any U.S. employer, as sponsorship is not available for this position.

Working at UCF has its perks! UCF offers:

• Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program
• Paid time off, including annual and sick time off and paid holidays
• Retirement savings options
• Employee discounts, including tickets to many Orlando attractions
• Education assistance
• Flexible work environment
• And more…

Unless explicitly stated on the job posting, it is UCF’s expectation that an employee of UCF will reside in Florida as of the date the employment begins.

#LI-HYBRID

Department: Analytics & Integrated Planning

Work Schedule: Monday - Friday; 8:00 AM- 5:00 PM

Type of Appointment: Regular

Expected Salary: $75,809.00 to Negotiable

Job Posting End Date: 03-19-2025-12-00-AM

Equal Employment Opportunity Statement:

The University of Central Florida is an Equal Opportunity Employer.

As a Florida public university, UCF makes all application materials and selection procedures available to the public upon request.

The University of Central Florida is proud to be a smoke-free campus and an E-Verify employer.

To request an accommodation with the application or interview process, please contact the Office of Institutional Equity by telephone: [phone]; email [e-mail]; or visit in person: 12701 Scholarship Drive, Orlando, FL 32816-0030.